Spaces:
Running
Running
typos
Browse files
README.md
CHANGED
|
@@ -7,6 +7,7 @@ sdk: static
|
|
| 7 |
pinned: false
|
| 8 |
tags:
|
| 9 |
- agentic-ai
|
|
|
|
| 10 |
- real-estate
|
| 11 |
- nlp
|
| 12 |
- content-automation
|
|
@@ -22,14 +23,14 @@ tags:
|
|
| 22 |
|
| 23 |
**Applied AI for real estate, media, and lean digital infrastructure.**
|
| 24 |
|
| 25 |
-
|
| 26 |
|
| 27 |
---
|
| 28 |
|
| 29 |
## 🤖 What We Build
|
| 30 |
|
| 31 |
- **Agentic content pipelines** — cloud-hosted agent networks that handle end-to-end workflows from topic research to SEO-optimized publication, with minimal human oversight
|
| 32 |
-
- **Real estate
|
| 33 |
- **AI visibility & SysOps** — infrastructure management paired with AI citation tracking across ChatGPT, Perplexity, and Gemini, with monthly performance action plans
|
| 34 |
- **SEO/GEO audits** — traditional + generative search visibility, keyword performance, and answer engine optimization
|
| 35 |
|
|
@@ -45,7 +46,7 @@ We run lean by design. Our projects are built on a tight, battle-tested stack:
|
|
| 45 |
| Frontend / Delivery | Jamstack (static-first, edge-cached) |
|
| 46 |
| Server / OS | Debian + Nginx |
|
| 47 |
| Backend / Automation | Ruby · Python |
|
| 48 |
-
| AI Layer |
|
| 49 |
|
| 50 |
Low overhead. High output. No unnecessary complexity.
|
| 51 |
|
|
@@ -59,7 +60,7 @@ Real estate is our deepest applied vertical. We've built conversion architecture
|
|
| 59 |
|
| 60 |
## 🔬 In-House Projects
|
| 61 |
|
| 62 |
-
Beyond client work, we maintain owned digital media properties and run internal experiments
|
| 63 |
|
| 64 |
---
|
| 65 |
|
|
|
|
| 7 |
pinned: false
|
| 8 |
tags:
|
| 9 |
- agentic-ai
|
| 10 |
+
- martech
|
| 11 |
- real-estate
|
| 12 |
- nlp
|
| 13 |
- content-automation
|
|
|
|
| 23 |
|
| 24 |
**Applied AI for real estate, media, and lean digital infrastructure.**
|
| 25 |
|
| 26 |
+
TheoryDigital is a Florida–based martech company. We build search engines, agentic systems and data-driven web products for real estate operators, media publishers, and our own in-house projects, keeping infrastructure costs low without sacrificing capability.
|
| 27 |
|
| 28 |
---
|
| 29 |
|
| 30 |
## 🤖 What We Build
|
| 31 |
|
| 32 |
- **Agentic content pipelines** — cloud-hosted agent networks that handle end-to-end workflows from topic research to SEO-optimized publication, with minimal human oversight
|
| 33 |
+
- **Real estate content systems** — custom builds from digital footprint and lead generation to full IDX integrations, with conversion-optimized page hierarchies grounded in buyer psychology
|
| 34 |
- **AI visibility & SysOps** — infrastructure management paired with AI citation tracking across ChatGPT, Perplexity, and Gemini, with monthly performance action plans
|
| 35 |
- **SEO/GEO audits** — traditional + generative search visibility, keyword performance, and answer engine optimization
|
| 36 |
|
|
|
|
| 46 |
| Frontend / Delivery | Jamstack (static-first, edge-cached) |
|
| 47 |
| Server / OS | Debian + Nginx |
|
| 48 |
| Backend / Automation | Ruby · Python |
|
| 49 |
+
| AI Layer | LLM APIs, RAG pipelines, Vectorize |
|
| 50 |
|
| 51 |
Low overhead. High output. No unnecessary complexity.
|
| 52 |
|
|
|
|
| 60 |
|
| 61 |
## 🔬 In-House Projects
|
| 62 |
|
| 63 |
+
Beyond client work, we maintain owned digital media properties and run internal experiments in publishing, GEO optimization, and behavioral content systems. These are the labs where our methodologies get stress-tested before going to market.
|
| 64 |
|
| 65 |
---
|
| 66 |
|